The Vehicle Breakdown Assistance Management System (VBAMS) is a progressive and comprehensive solution designed to improve the performance and reaction time of roadside help offerings. Roadside emergencies, which includes vehicle breakdowns, accidents, and flat tires, pose widespread challenges to both motorists and help vendors, frequently resulting in delays, safety risks, and inconvenience. This studies paper affords an in-depth evaluation of the VBAMS, specializing in its structure, key additives, and operational processes. The VBAMS leverages superior technologies along with Global Positioning System (GPS), Internet of Things (IoT), and Artificial Intelligence (AI) algorithms to offer real-time tracking and management of breakdown assistance requests. The machine consists of a person-friendly mobile utility thatlets in motorists to put up their distress calls along with the vehicle's vicinity facts, allowing fast identity of the incident's specific vicinity. The AI-powered backend correctly allocates and dispatches the closest to be had help teams, optimizing useful resource utilization and minimizing reaction time. The paper also highlights the mixing of diverse stakeholders in the VBAMS environment, which include emergency call facilities, towing services, and repair workshops. By establishing seamless communique channels and presenting a centralized database, the device fosters powerful collaboration and coordination amongst those entities, main to a extra streamlined and green assistance technique.